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Posted to issues@spark.apache.org by "lvyanquan (Jira)" <ji...@apache.org> on 2023/08/07 03:48:00 UTC
[jira] [Created] (SPARK-44696) Support deal with microsecond for `from_json` function
lvyanquan created SPARK-44696:
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Summary: Support deal with microsecond for `from_json` function
Key: SPARK-44696
URL: https://issues.apache.org/jira/browse/SPARK-44696
Project: Spark
Issue Type: Improvement
Components: SQL
Affects Versions: 3.4.1
Reporter: lvyanquan
Currently, `from_json` function will treat all input timestamp as second precise.
However, if the input is millisecond or microsecond, this function will return wrong result and throw no exception, which will lead to misunderstanding.
Example:
{code:java}
spark-sql> SELECT from_json('{"a":1, "b":1691241070}', 'a INT, b TIMESTAMP');
{"a":1,"b":2023-08-05 21:11:10}
spark-sql> SELECT from_json('{"a":1, "b":1691241070000}', 'a INT, b TIMESTAMP');
{"a":1,"b":+55563-04-19 18:06:40}
spark-sql> SELECT from_json('{"a":1, "b":1691241070000000}', 'a INT, b TIMESTAMP');
{"a":1,"b":-183707-06-27 20:24:24.251328}{code}
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